On-demand activities

Google Cloud 根據您的需求規劃了全方位的課程內容,內含超過 980 項學習活動,並涵蓋多種活動型態,您可自由選擇。您可以選擇簡短的個別研究室,或是包含影片、文件、研究室和測驗的多單元課程。在研究室中,您可以透過臨時憑證實際使用雲端資源,直接累積 Google Cloud 實作經驗。完成課程可獲得徽章,讓您輕鬆掌握、追蹤及評估自己的 Google Cloud 學習成果!

过滤条件
全部清除
  • Badge
  • 格式
  • 语言

1212 条结果
  1. 实验 精选

    Arcade Hero: Enter the Cloud Function Ruby

    Arcade Hero: Cloud Function Level One

  2. 实验 精选

    Generative AI: Database Engineer Revision

    Arcade chatbot lab to learn about the Professional Database Engineer

  3. 实验 精选

    Perform Predictive Data Analysis in BigQuery: Challenge Lab

    This challenge lab tests the skills and knowledge gained from the labs in the Perform Predictive Data Analysis in BigQuery skill badge course.

  4. 实验 精选

    Apply RFM method to segment customer data

    Apply RFM Method in BigQuery

  5. 实验 精选

    Setting Up Cost Control with Quota

    In this lab you will query a large dataset, update the BigQuery API quota, and then optimize your query to run within quota.

  6. 实验 精选

    Cloud Natural Language API:Qwik Start

    透過 Cloud Natural Language API,您可以從文字中擷取實體,並執行情緒和語法分析。建議您觀看下列短片:《Gain Valuable Insights from Text with Cloud Natural Language》和《Cloud Natural Language: Qwik Start - Qwiklabs Preview》。

  7. 实验 精选

    Deploy, Scale, and Update Your Website on Google Kubernetes Engine

    Deploy a website to Google Kubernetes Engine, scale it out to more instances, and deploy a new version using Rolling Updates.

  8. 实验 精选

    Generative AI: Associate Cloud Engineer Revision

    Arcade chatbot lab to learn about the Associate Cloud Engineer

  9. 实验 精选

    Visualizing Billing Data with Looker Studio

    In this lab, you will harness the power of Looker Studio, where you will learn how to build billing graphs and charts so you can slice and dice your Google Cloud bill the way you want.

  10. 实验 精选

    Summarize Text using SQL and LLMs in BigQuery ML

    In this lab, you will explore how to perform summarization of source code from GitHub repos and identification of the language of programming in the repo, using Vertex AI Large Language Model (LLM) for text generation.